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Record W2983405870 · doi:10.1093/library/13.1.100

<i>Out of Sorts: On Typography and Print Culture</i> . By J <scp>oseph</scp> A. D <scp>ane</scp> . <i>Out of Sorts: On Typography and Print Culture</i> . By DaneJoseph A.. Philadelphia: University of Pennsylvania Press. 2010. 240 pp. £30. <scp>isbn</scp> 978 0 8122 4294 2.

2012· article· en· W2983405870 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Library · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsExposition (narrative)Interpretation (philosophy)NarrativeSkepticismAssertionMythologyPrint cultureViewpointsLiteratureHistoryEpistemologySociologyArt historyPhilosophyArtVisual artsLinguisticsComputer science

Abstract

fetched live from OpenAlex

Joseph Dane continues his sceptical evaluation of the philosophical nature of ‘facts’ and ‘evidence’ that he previously discussed in detail in The Myth of Print Culture (Toronto: University of Toronto Press, 2003) and Abstractions of Evidence (Farnham: Ashgate, 2009). Criticizing David Bradshaw's assertion that facts tell their own story, without the need for rigorous and detailed interpretation, Dane here offers an exposition of so-called bibliographical ‘grand narratives’, or models of thinking about bibliography that, Dane argues, obscure what the actual evidence might tell us. Sometimes, as Dane shows, the comparison between repeated grand narratives and looking hard at the evidence can produce some startling differences. Such post-structuralist viewpoints are often criticised for maligning what we have come to accept as a given; yet such studies can and will serve as important reminders to bibliographers and book historians alike that evidence should be prioritized over predefined assumptions of critical interpretation. The trick, perhaps, is to report these new readings in ways that are meaningful and incontrovertible.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.191
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it